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Dynamic Online Parameter Configuration of Genetic Algorithms Using Reinforcement Learning

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Title: Dynamic Online Parameter Configuration of Genetic Algorithms Using Reinforcement Learning
Authors: Oliveira, VítorAff12, Pinto, TiagoAff13, Ramos, CarlosAff12
Contributors: Goos, Gerhard, Series EditorAff1, Hartmanis, Juris, Founding EditorAff2, Bertino, Elisa, Editorial Board MemberAff3, Gao, Wen, Editorial Board MemberAff4, Steffen, Bernhard, Editorial Board MemberAff5, Yung, Moti, Editorial Board MemberAff6, Santos, Manuel Filipe, editorAff7, Machado, José, editorAff8, Novais, Paulo, editorAff9, Cortez, Paulo, editorAff10, Moreira, Pedro Miguel, editorAff11
Source: Progress in Artificial Intelligence : 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3–6, 2024, Proceedings, Part II. 14968:172-183
Database: Springer Nature eBooks
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DbLabel: Springer Nature eBooks
An: edssjb.978.3.031.73500.4.15
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AccessLevel: 2
PubType: eBook
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PreciseRelevancyScore: 1054.3056640625
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  Data: Dynamic Online Parameter Configuration of Genetic Algorithms Using Reinforcement Learning
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  Data: <i>Progress in Artificial Intelligence : 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3–6, 2024, Proceedings, Part II</i>. 14968:172-183
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            – TitleFull: Progress in Artificial Intelligence : 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3–6, 2024, Proceedings, Part II
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